AI & Cloud Solutions Engineer

Overview

Design, build, deploy, and support enterprise AI and cloud solutions, including assistants, agents, copilots, and intelligent workflow automation. The role combines AI engineering, AWS cloud platforms, integrations, and DevOps automation.

What you'll do

• Build Retrieval Augmented Generation solutions using enterprise knowledge and business data.
• Develop secure integrations between AI solutions, enterprise applications, SaaS platforms, and data services.
• Provision and manage AWS services with Terraform.
• Deploy and support containerized and serverless applications across environments.
• Build and maintain CI/CD pipelines and infrastructure automation.
• Monitor production systems, remediate incidents, and implement SLOs and telemetry.
• Collaborate with stakeholders to guide solutions from MVP to scale.

What you'll need

• 4–6 years of relevant IT experience.
• Bachelor’s or master’s degree, or equivalent experience, in a relevant technical or life sciences field.
• Experience with AWS cloud services and Terraform.
• Experience developing applications with Python, Java, JavaScript/TypeScript, React, or similar technologies.
• Experience building REST APIs and backend services with FastAPI, Node.js, or similar frameworks.
• Understanding of Generative AI, LLMs, prompt engineering, AI agents, and RAG architectures.
• Experience with CI/CD, Git, Docker, security, data governance, and Responsible AI principles.

Nice to have

• Experience with Veeva Vault, Veeva AI, and Veeva platform integrations.
• Experience building AI agents, agent orchestration, or enterprise-scale RAG solutions.
• Experience with vector databases, semantic search, or MCP clients and servers.
• Experience with Microsoft Power Platform and Power Automate.
• Life sciences, clinical development, regulatory, quality, or GxP experience.
• AWS, Terraform, cloud, AI, or related professional certifications.

Details

• Location: Chennai, India.